"Vector search and applications" by Andrey Vasnetsov, CTO at Qdrant

Andrey Vasnetsov, Co-founder and CTO at Qdrant, discusses the intricacies of vector search and its applications in a session with Learn NLP Academy. He explores the functionality of the Qdrant search engine and the Quaterion similarity learning framework, emphasizing the role of similarity learning in multimodal settings. Vasnetsov contrasts Elastic search embeddings with vector search engines, highlighting the support for multiple embeddings. He also touches on the topics of fundraising, venture capital discussions, and his vision for the evolution of vector search, including the significance of fine-tuning for out-of-domain scenarios.